Summary of A Survey on Lora Of Large Language Models, by Yuren Mao et al.
A Survey on LoRA of Large Language Modelsby Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi…
Summary of Spin: Se(3)-invariant Physics Informed Network For Binding Affinity Prediction, by Seungyeon Choi et al.
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Predictionby Seungyeon Choi, Sangmin Seo, Sanghyun ParkFirst…
Summary of Combining Federated Learning and Control: a Survey, by Jakob Weber et al.
Combining Federated Learning and Control: A Surveyby Jakob Weber, Markus Gurtner, Amadeus Lobe, Adrian Trachte,…
Summary of Geomix: Towards Geometry-aware Data Augmentation, by Wentao Zhao et al.
GeoMix: Towards Geometry-Aware Data Augmentationby Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi YanFirst submitted to…
Summary of Physics-informed Machine Learning For Smart Additive Manufacturing, by Rahul Sharma et al.
Physics-Informed Machine Learning for Smart Additive Manufacturingby Rahul Sharma, Maziar Raissi, Y.B. GuoFirst submitted to…
Summary of Fine-grained Analysis Of In-context Linear Estimation: Data, Architecture, and Beyond, by Yingcong Li et al.
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyondby Yingcong Li, Ankit Singh Rawat,…
Summary of Rapid-seg: Range-aware Pointwise Distance Distribution Networks For 3d Lidar Segmentation, by Li Li et al.
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentationby Li Li, Hubert P. H.…
Summary of The Hidden Influence Of Latent Feature Magnitude When Learning with Imbalanced Data, by Damien A. Dablain and Nitesh V. Chawla
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Databy Damien A. Dablain,…
Summary of Improving Graph Out-of-distribution Generalization on Real-world Data, by Can Xu et al.
Improving Graph Out-of-distribution Generalization on Real-world Databy Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang,…
Summary of Towards Understanding Epoch-wise Double Descent in Two-layer Linear Neural Networks, by Amanda Olmin et al.
Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networksby Amanda Olmin, Fredrik LindstenFirst submitted…